Storing semistructured data with STORED
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
WWW '99 Proceedings of the eighth international conference on World Wide Web
SilkRoute: trading between relations and XML
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
IEEE Transactions on Knowledge and Data Engineering
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
XPERANTO: Middleware for Publishing Object-Relational Data as XML Documents
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Quilt: An XML Query Language for Heterogeneous Data Sources
Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
Sangam - a solution to support multiple data models, their mappings and maintenance
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
XEM: Managing the Evolution of XML Documents
RIDE '01 Proceedings of the 11th International Workshop on research Issues in Data Engineering
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Abstract: In many business settings, a relational database system (RDBMS) will serve as the storage manager for data from XML documents. In such a system, once the XML data is dissembled and loaded into the storage system, XML queries posed against the (virtual) XML documents are processed by translating them into SQL queries against the relational storage. However, for applications which frequently update their XML documents, we cannot afford to reload a complete, possibly large, document for each update, instead we must be able to incrementally propagate document updates to the stored XML data. In this paper, we address the issue of correctly reflecting updates of external XML documents into the loaded XML data in a relational database system. We describe Clock, a framework for synchronizing the relational storage with updated XML documents by exploiting a metadata-driven technology. First, we propose a set of (DTD preserving) update primitives for XML documents. Second, based on the mapping between XML and the relational model, we describe the propagation of those update primitives. Validation of the updates ensures they will not violate the constraints specified by the DTD. We have implemented a working prototype of the Clock system using the IBM's XML4J parser, JDBC 2 and Oracle 8i. We report on preliminary experiments conducted using this prototype to analyze our algorithms in a document update setting.